iPhone 16
Geekbench AI Score
4126
Single Precision Score
6808
Half Precision Score
5425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 04:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.4 IPS |
|
|
Image Classification (Q)
|
96% |
1769
330.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7892
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15505
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12996
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3564
283.7 IPS |
|
|
Object Detection (Q)
|
94% |
2511
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6623
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3711
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7316
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12935
100.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8829
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18981
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32548
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26791
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4658
172.0 IPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6217
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6174
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5299
91.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5765
99.6 IPS |
